Startup Funding: Q1 2025


The first quarter of 2025 saw six companies raise at least $100 million in investment. Of those, three went to quantum hardware companies, with major investment into neutral atom, superconducting, and hybrid quantum control approaches. AI chips and enabling technology were another big winner in the quarter, with companies developing optical communications tech for chips and data center infra... » read more

Challenges In Managing Chiplet Resources


Managing chiplet resources is emerging as a significant and multi-faceted challenge as chiplets expand beyond the proprietary designs of large chipmakers and interact with other elements in a package or system. Poor resource management in chiplets adds an entirely new dimension to the usual power, performance, and area tradeoffs. It can lead to performance bottlenecks, because as chiplets co... » read more

Digital Twins For Design And Verification Workflows


Experts At The Table: AI is starting to impact several parts of the EDA design and verification flows, but so far these improvements are isolated to a single tool or small flows provided by a single company. What is required is a digital twin of the development process itself, on which AI can operate. Semiconductor Engineering sat down with a panel of experts, including Johannes Stahl, senior d... » read more

The Evolving Role Of AI In Verification


Experts At The Table: The pressure on verification engineers to ensure the functional correctness of devices has increased exponentially as chips have gotten more complex and evolved into SoC, 3D-ICs, multi-die chiplets and beyond. Semiconductor Engineering sat down with a panel of experts, which included Josh Rensch, director of application engineering at Arteris; Matt Graham, senior group dir... » read more

Verification Experts Vs. Generalists


Experts At The Table: As chips and systems become more complicated, more verification tasks get abstracted. So do we need more specialists who are experts in specific tasks, or do we need more generalists who know how to use the tools but don't necessarily have the depth of understanding? Or do we need some way to balance both? Semiconductor Engineering sat down with a panel of experts, includi... » read more

Improving Verification Methodologies


Methodology improvements and automation are becoming pivotal for keeping pace with the growing complexity and breadth of the tasks assigned to verification teams, helping to compensate for lagging speed improvements in the tools. The problem with the tools is that many of them still run on single processor cores. Functional simulation, for example, cannot make use of an unlimited number of c... » read more

Lines Blurring Between Supercomputing And HPC


Supercomputers and high-performance computers are becoming increasingly difficult to differentiate due to the proliferation of AI, which is driving huge performance increases in commercial and scientific applications and raising similar challenges for both. While the goals of supercomputing and high-performance computing (HPC) have always been similar — blazing fast processing — the mark... » read more

Multi-Die Design Complicates Data Management


The continued unbundling of SoCs into multi-die packages is increasing the complexity of those designs and the amount of design data that needs to be managed, stored, sorted, and analyzed. Simulations and test runs are generating increasing amounts of information. That raises questions about which data needs to be saved and for how long. During the design process, engineers now must wrestle ... » read more

Universities Augment Engineering Curricula To Boost Employability


Increasing numbers of universities are offering semiconductor courses in their engineering programs, and also in math, physics, and business degrees. Most universities now offer a broad foundation so students can pivot to other industries during cyclical downturns, or when technology and science create entirely new and potentially lucrative opportunities, such as generative AI, advanced pack... » read more

AI In Data Management Has Limits


AI algorithms are being integrated into a growing number of EDA tools to automate different aspects of data management, but they also are forcing discussions about just how much decision-making should be turned over to machines and when that should happen. The ability of AI to sort through enormous amounts of design data to find patterns, both good and bad, is well recognized at this point. ... » read more

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